SYLGMay 5, 2020

A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications

arXiv:2005.02339v129 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of decentralized energy operation for utility providers and consumers, offering an incremental improvement in demand response modeling.

The paper tackles the challenge of integrating flexible consumer behavior into multi-energy infrastructure systems by proposing a hierarchical approach to control aggregated energy consumption across residential, commercial, and industrial sectors, enabling demand response as a tool for modern energy management.

Due to proliferation of energy efficiency measures and availability of the renewable energy resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be operated in a centralized manner under the assumption that consumer behavior is inflexible, i.e. cannot be adjusted in return for an adequate incentive. To allow for a less centralized operating paradigm, consumer-end perspective and abilities should be integrated in current dispatch practices and accounted for in switching between different energy sources not only at the system but also at the individual consumer level. Since consumers are confined within different built environments, this paper looks into an opportunity to control energy consumption of an aggregation of many residential, commercial and industrial consumers, into an ensemble. This ensemble control becomes a modern demand response contributor to the set of modeling tools for multi-energy infrastructure systems.

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